Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China最新文献_第5页

Simulation Realization of Aircraft Target and Multi-task Conversion Model in Ground Attack Mission 对地攻击任务中飞机目标与多任务转换模型的仿真实现

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322882

Zhenhui Yin, Shusheng Yan, Lianhua Li, BaoJun Xing

引用次数: 0

Design and Construction of Daily-updating Objective Climate Prediction System Based on the Real-time Forecast of CFSv2 基于CFSv2实时预报的日更新客观气候预测系统设计与构建

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322676

Hao Ma, Fei Yu, Ming Yang, Jingwen Ge, Gaofeng Fan, Ying Liu, Zheyong Xu, Jianjiang Wang, Hangyuan Sun

{"title":"Design and Construction of Daily-updating Objective Climate Prediction System Based on the Real-time Forecast of CFSv2","authors":"Hao Ma, Fei Yu, Ming Yang, Jingwen Ge, Gaofeng Fan, Ying Liu, Zheyong Xu, Jianjiang Wang, Hangyuan Sun","doi":"10.4108/eai.17-6-2022.2322676","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322676","url":null,"abstract":"— The CFSv2 forecast products have been widely used in climate prediction operation all over the world. Although the real-time forecast is able to basically capture large pattern of climate anomaly, there still exists obvious bias, which may have enormous impacts on predicted result and thus cannot be neglected. Presently, how to smartly use the massive modeling outputs to improve forecast skill is very important for objective prediction. In this paper, a statistical downscaling strategy for correcting systematic bias through recovering modeling-climatology to its observational counterpart is introduced, and with such methodology, an operational platform conducting real-time 1-30d and 10-30d temperature and precipitation objective prediction is constructed for Zhejiang province. Various verification schemes of the Ps score, Pc score, ACC, SCC, RMSE, the absolute bias, relative bias, and sign coherence are applied on long-term temperature and rainfall assessment. Given the behavior of 335 independent forecast ensembles from January 1 st to November 30 th in 2019, predictive ability of the downscaling model is forecast. In general, forecast presentation demonstrates this system is practically useful and valuable.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127914069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Risk Analysis of Military Logistics Outsourcing Under The Background of Informatization And Big Data of Logistics 信息化和物流大数据背景下的军事物流外包风险分析

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322732

Shuai Yuan

{"title":"Risk Analysis of Military Logistics Outsourcing Under The Background of Informatization And Big Data of Logistics","authors":"Shuai Yuan","doi":"10.4108/eai.17-6-2022.2322732","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322732","url":null,"abstract":": With the rapid development of domestic logistics enterprises and networks, military logistics outsourcing has gradually become an important means of China's military material transportation, delivery and comprehensive support, however its risks are everywhere, especially the Third-Party Logistics (TPL) managed by novel information technologies and mobile management systems is prone to potential risks of loss and disclosure in military information collection, transmission, tracking, mining and analysis. The paper systematically combs and analyzes the risk of military logistics outsourcing under the background of informatization and Big Data of logistics by using the methods of literature investigation, field investigation and expert consultation, and analyzes the connotation of each risk factor in detail; Based on this, each risk factor is quantitatively analyzed and measured by the Applet of analytic hierarchy process (AHP) and expert scoring. The research show that: in terms of primary indicators, the biggest risk factor is the risk from TPL enterprises, followed by the risk of process management of logistics transportation; In terms of secondary indicators, the biggest risk is the asset specificity risk from TPL, the second is the legal environment risk, and the third is military information leakage via Internet, which provides a certain guidance for the risk management of military logistics outsourcing.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129232503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of Ecological Humidifier Based on Computer Modeling Technology 基于计算机建模技术的生态加湿器设计

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322861

Wenming Liu, Wenjie Xue

引用次数: 0

Can Small Business Owners Invest in Canadian Apartment Rental Industry 小企业主可以投资加拿大的公寓租赁行业吗

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322792

Taichuan Shi

{"title":"Can Small Business Owners Invest in Canadian Apartment Rental Industry","authors":"Taichuan Shi","doi":"10.4108/eai.17-6-2022.2322792","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322792","url":null,"abstract":". The Canadian economy has been damaged a lot by Covid-19 outbreak since 2020. Now in 2022, the pandemic is almost end, the Canadian economy is recovering and investment opportunities are coming for investors. Some investors may look forward to invest in Canada. This paper selects Canadian apartment rental Industry as the target industry and evaluates whether or not to invest this industry. In this article, the data will be explained by Net Present Value (NPV), Internal Rate and Return (IRR) and Payback Period (PP) approach. The results will be explained under both certainty and uncertainty: under certainty means the evaluation of the investment will only consider the costs and benefits for the project itself, while uncertainty will include some potential risks which will lead to a decrease in profit or revenue. Based on the analysis done in this article, if results are under certainty, investors should accept the investment; if results are under uncertainty, investors should reject the investment. This article can provide an idea about how to evaluate an investment project for investors. This article maybe useful for investors who are interested at Canadian apartment rental industry or those who want to invest into this industry.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126814012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on Income Forecasting based on Machine Learning Methods and the Importance of Features 基于机器学习方法和特征重要性的收益预测研究

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322745

Jinglin Wang

{"title":"Research on Income Forecasting based on Machine Learning Methods and the Importance of Features","authors":"Jinglin Wang","doi":"10.4108/eai.17-6-2022.2322745","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322745","url":null,"abstract":": In modern society, age has a significant impact on the income distribution of employee. However, little research has focused on the precise impacts of different factors of income and their relevant applications in predicting the person’s income. Using 48,842 individuals’ income census data from Adult Data Set, this study aims to predict the annual income level of the individual with machine learning approaches based on 13 attributes of the person (age, workclass, education, education-num, marital-status, occupation, relationship, race, sex, capital-gain, capital-loss, hours-per-week and native-country) and determine the key factors of the prediction. For income prediction, 32,561 individuals are divided randomly for training the classification model; the Random Forest (RF), K Nearest Neighbor (KNN), Support Vector Machines (SVM), Logistic Regression (LR) and Naïve Bayes (NB) algorithm have been adopted. Since the accuracy of RT is greater than 0.9 in this task, Gini Importance is used to measure the relativities between each feature and the topic. Among these 5 methods, the RT and KNN models perform relatively well, with accuracies of 0.97973 and 0.8976 respectively. And the age of the employee shows the highest relativity to his or her possible income with the importance of 0.225.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121406522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Factors Affecting Customer Satisfaction of Carsharing and Development Direction: Analysis Based on Customer Perspective 汽车共享顾客满意度的影响因素及发展方向:基于顾客视角的分析

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322607

Jia Xiao, L. Yao

{"title":"Factors Affecting Customer Satisfaction of Carsharing and Development Direction: Analysis Based on Customer Perspective","authors":"Jia Xiao, L. Yao","doi":"10.4108/eai.17-6-2022.2322607","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322607","url":null,"abstract":"- -In recent years, carsharing, as an effective method which may alleviate environmental pollution, tackle rising prices of fuel and meet the demand of expense economizing, while also has been widely concerned by the whole society. Customer satisfaction can reflect the past and present operation effect of an enterprise and its future financial situation. High customer satisfaction can win customers for an enterprise and help it be in a favorable position in the competition. This paper focuses on the study of customer satisfaction of one-way carsharing system, aiming to help carsharing organizations to clarify customer expectations and needs. By using SWOT Analysis and customer journey map analysis, the current research status in this field is summarized and the customer behaviours and touchpoints are explored. Through the analysis of the salient problems, the difficulty of parking and finding an available car are identified as a major obstacle to the development of shared cars. In summary, this paper looks forward to the future development of carsharing industry and proposes three ways to help carsharing enterprises to define development direction clearly, including establishing incentive mechanism, adopting advanced technology, and developing driverless technology.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114222894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Effect of Public Subsidies on Innovation Investment Decision of Enterprises Based on Mean Variance Model Analysis 公共补贴对企业创新投资决策的影响——基于均值方差模型分析

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322683

Jidong Li, Fenghuan Wang, Xiping Wang

引用次数: 0

The Analysis on the Research Status and Development Process of Green Logistics in China Based on Knowledge Map 基于知识地图的中国绿色物流研究现状及发展历程分析

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322870

Lingli Li, W. Zhang

引用次数: 0

Value Preference and Response Performance Analysis of Government in Network Public Opinion -- Based on Probit Model 政府在网络舆论中的价值偏好与反应绩效分析——基于Probit模型

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China Pub Date : 1900-01-01 DOI: 10.4108/eai.17-6-2022.2322682

Yanhua Sun, Yixuan Fu

{"title":"Value Preference and Response Performance Analysis of Government in Network Public Opinion -- Based on Probit Model","authors":"Yanhua Sun, Yixuan Fu","doi":"10.4108/eai.17-6-2022.2322682","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322682","url":null,"abstract":"— With the continuous development of big data and the continuous progress of social media, at present, the government's response to online public opinion is one of the important contents of the government's work, which is an important support for social stability and the orderly participation of the public in the network. This paper mainly analyzes based on the public value theory, collects six types of online public opinion in China in the past four years, takes the online public opinion events as the analysis object, and uses the probit model to test the consistency of the public value theory for the government's response to online public opinion performance. Through the analysis of the object, it can be concluded that task-based public value and non task-based public value have a positive impact on the government response performance perceived by the online public and mainstream media. In terms of cognitive performance of online public, the interaction effect between task-based public value and non task-based public value is significant and has a positive synergy. This paper theoretically verifies some viewpoints of Government Performance Governance Theory and relative deprivation theory based on public value, and provides enlightenment and ideas for cognition, understanding and governance of public opinion in practice.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127925111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0